Instructions to use NeuralNotwork/blenderbot-400M-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuralNotwork/blenderbot-400M-baseline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NeuralNotwork/blenderbot-400M-baseline") model = AutoModelForSeq2SeqLM.from_pretrained("NeuralNotwork/blenderbot-400M-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from NeuralNotwork/blenderbot-400M-baseline: direct link, hf CLI and curl.
- Browser
- Download file 1.46 GB
-
https://huggingface.co/NeuralNotwork/blenderbot-400M-baseline/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://NeuralNotwork/blenderbot-400M-baseline/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NeuralNotwork/blenderbot-400M-baseline/resolve/main/pytorch_model.bin
1.46 GB
- Xet hash:
- e9427effd210ac9980864c543218b49de05920c54c3b9fad0b2c75d76a79fe3f
- Size of remote file:
- 1.46 GB
- SHA256:
- 89273a33f38e66601dfa6a815d94f216e49007b4bc1d5e31ad2018e2612280a5
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